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Optimizing Sensorless Control in PMSM Based on the SOGIFO-X Flux Observer Algorithm.

Rencheng Jin1, Ji Chen1, Peihao Hu1

  • 1Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China.

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Summary
This summary is machine-generated.

This study introduces the SOGIFO-X flux observer for permanent magnet synchronous motor (PMSM) sensorless control. It significantly improves rotor position estimation accuracy by reducing flux observation errors caused by harmonics.

Keywords:
DC componentharmonicsnonlinear flux observerpermanent magnet synchronous motorsecond-order generalized integrator flux observer extend

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Robotics

Background:

  • Sensorless control of Permanent Magnet Synchronous Motors (PMSM) relies on flux observer algorithms.
  • Traditional methods suffer from reduced rotor position estimation accuracy due to DC bias and high-order harmonics.

Purpose of the Study:

  • To introduce an advanced flux observation method, the second-order generalized integrator flux observer extend (SOGIFO-X).
  • To analyze the relationship between flux observation error and rotor position error.
  • To evaluate the performance improvements of SOGIFO-X over conventional methods.

Main Methods:

  • Theoretical analysis of flux observation error and rotor position error.
  • Mathematical rigor and Bode plot analysis for comparing SOGIFO-X with Low Pass Filter (LPF) and second-order generalized integrator flux observer (SOGIFO).
  • Simulations and experimental validation of SOGIFO-X in sensorless control.

Main Results:

  • SOGIFO-X demonstrates significant reduction in flux observation error compared to LPF and SOGIFO.
  • The proposed method enhances steady-state and dynamic performances in sensorless control applications.
  • Improved position estimation accuracy is achieved through the advanced flux observation technique.

Conclusions:

  • SOGIFO-X offers superior performance in sensorless PMSM control by mitigating harmonic interference.
  • The method advances the accuracy of rotor position estimation, crucial for effective motor control.
  • This work contributes to the development of more robust and efficient sensorless motor control technologies.